Software Engineer (Quality & Automation)
Fieldguide
- United States
- Mid Level
- Posted
Skills
Required
- AI / agentic tooling
- queue
- Python
- TypeScript
- React
- Postgres
- Kubernetes
- Terraform
Preferred
- tooling
- SOC
- FedRAMP
- building agentic workflows
- LLMs
- workflows
- bug reporting
Join our team as a Software Engineer (Quality & Automation) where you'll own quality and automation for large enterprise deployments. You'll work closely with customers and our internal engineering team to develop a world-class QA function.
About Fieldguide
Comfortable across the stack and across environments spanning application code, CI, and the deployment differences that make "works on SaaS" not mean "works everywhere"
Responsibilities
- This role is centered around using agentic tooling to streamline the repetitive work of finding, reproducing, and resolving issues.
- You'll also be responsible for bug reporting and communication, improving internal automated testing, and supporting evaluation efforts.
- Depending on your experience, you may join at various levels, from executing against this scope to setting quality and automation standards across engineering.
- Assurer la qualité et l'automatisation des déploiements d'entreprise à grande échelle, en utilisant des outils agentiques pour automatiser les tâches répétitives.
- Collaborer avec les clients et l'équipe d'ingénierie interne pour développer une fonction de contrôle qualité de classe mondiale, en intégrant profondément les processus du client.
- Diriger les efforts d'automatisation pour la gestion des bogues, y compris le triage, la reproduction et le routage, en utilisant des outils agentiques.
- You think in trends, hotspots, and severity, not anecdotes, and you can tell a clear story from a messy bug backlog
- Observability and tracing tooling such as Datadog
- Performance and load testing, especially on long-running workflows
Requirements
- Strong with customers: you can sit with a frustrated enterprise user, understand their process, and be the person they trust to get it resolved
- High ownership and comfortable with ambiguity. Nobody hands you the list of what to test or what to automate first
- Genuinely collaborative across the organization: you'll work daily with engineers, PM, support, and customer-facing teams, and treat that as the best part of the job
- Able to internalize a hard domain fast. You don't need to know audit, but you'll learn enough to know what "broken" means to an auditor
- An engineer who fixes what you find. You're comfortable in the codebase and you'd rather ship the fix than hand it off
- AI-native in how you work: you treat agentic tooling as core leverage for the unglamorous parts of quality, and you've used it on real work rather than just tried it
- Production software engineering experience — you write and ship code, not only tests
- Comfort operating in ambiguity and owning outcomes without a defined queue
- Experience working directly with customers or enterprise users on issues they care about
- Hands-on experience building test automation and CI quality gates that engineers actually rely on
- Real use of AI or agentic tooling as part of how you work
Python, TypeScript, React, Postgres, Hasura, GraphQL
- E2E and integration frameworks such as Playwright or Cypress
- Infrastructure exposure for environment parity work — AWS, Kubernetes, Terraform
- Experience with both multi-tenant SaaS and single-tenant or self-managed enterprise deployments
Preferred
- Security and compliance environments (SOC 2, FedRAMP, or similar)
- Background in audit, accounting, financial services, or another regulated domain
- Experience building agentic workflows or internal tooling with LLMs
Pay
USD 130,000 - 240,000
jobapplier